ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Ruming Tang; Zheng Yang; Zeyan Li; Weibin Meng; Haixin Wang; Qi Li; Yongqian Sun; Dan Pei; Tao Wei; Yanfei Xu; Yan Liu

doi:10.1109/infocom41043.2020.9155278

INFOCOM2020顶会

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu

DOI 出版方

2020年份

97被引次数

17顶会引用

摘要

The following topics are dealt with: learning (artificial intelligence); optimisation; telecommunication traffic; Internet; cloud computing; computational complexity; mobile computing; resource allocation; security of data; and telecommunication network routing.

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Realtime Robust Malicious Traffic Detection via Frequency Domain AnalysisChuanpu Fu, Qi Li, Meng Shen, Ke XuCCS 2021 · 被引用 194 次
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security ApplicationsDongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong 等CCS 2021 · 被引用 108 次
Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive AlarmsChuanpu Fu, Qi Li, Ke Xu, Jianping WuCCS 2023 · 被引用 30 次
Interpreting Unsupervised Anomaly Detection in Security via Rule ExtractionRuoyu Li, Qing Li, Yu Zhang, Dan Zhao 等NeurIPS 2023 · 被引用 18 次
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web DomainsPeiyang Li, Ye Wang, Qi Li, Zhuotao Liu 等CCS 2023 · 被引用 13 次

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